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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Identifying disturbed habitats: A new method from acoustic indices
William E. Gómez, Claudia Isaza, Juan M. Daza
Ecological Informatics (2018) Vol. 45, pp. 16-25
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Acoustic indices as proxies for biodiversity: a meta‐analysis
Irene Alcocer, Herlander Lima, Larissa Sayuri Moreira Sugai, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2022) Vol. 97, Iss. 6, pp. 2209-2236
Open Access | Times Cited: 146
Rapid assessment of avian species richness and abundance using acoustic indices
Tom Bradfer‐Lawrence, Nils Bunnefeld, Nick Gardner, et al.
Ecological Indicators (2020) Vol. 115, pp. 106400-106400
Open Access | Times Cited: 119
Listening to a changing landscape: Acoustic indices reflect bird species richness and plot-scale vegetation structure across different land-use types in north-eastern Madagascar
Saskia Dröge, Dominic A. Martin, Rouvah Andriafanomezantsoa, et al.
Ecological Indicators (2020) Vol. 120, pp. 106929-106929
Open Access | Times Cited: 87
Passive acoustic monitoring as a potential tool to survey animal and ecosystem processes in freshwater environments
Camille Desjonquères, Toby Gifford, Simon Linke
Freshwater Biology (2019) Vol. 65, Iss. 1, pp. 7-19
Open Access | Times Cited: 81
Systematic review of machine learning methods applied to ecoacoustics and soundscape monitoring
Daniel Alexis Nieto-Mora, Susana Rodríguez‐Buriticá, Paula Andrea Rodríguez Marín, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20275-e20275
Open Access | Times Cited: 25
An automatic prediction of students’ performance to support the university education system: a deep learning approach
Yazn Alshamaila, Hamad Alsawalqah, Ibrahim Aljarah, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 12
Ecoacoustics in the rain: understanding acoustic indices under the most common geophonic source in tropical rainforests
Camilo Sánchez‐Giraldo, Carol L. Bedoya, Raúl Alejandro Morán‐Vásquez, et al.
Remote Sensing in Ecology and Conservation (2020) Vol. 6, Iss. 3, pp. 248-261
Open Access | Times Cited: 55
Poor performance of acoustic indices as proxies for bird diversity in a fragmented Amazonian landscape
Thiago Bicudo, Diego Llusia, Marina Anciães, et al.
Ecological Informatics (2023) Vol. 77, pp. 102241-102241
Closed Access | Times Cited: 18
Acoustic metrics predict habitat type and vegetation structure in the Amazon
Leandro Do Nascimento, Marconi Campos‐Cerqueira, Karen H. Beard
Ecological Indicators (2020) Vol. 117, pp. 106679-106679
Open Access | Times Cited: 44
Monitoring soil fauna with ecoacoustics
Jake M. Robinson, Amy Annells, Timothy R. Cavagnaro, et al.
Proceedings of the Royal Society B Biological Sciences (2024) Vol. 291, Iss. 2030
Open Access | Times Cited: 5
Acoustic features as a tool to visualize and explore marine soundscapes: Applications illustrated using marine mammal passive acoustic monitoring datasets
Simone Cominelli, Nicolò Bellin, Carissa D. Brown, et al.
Ecology and Evolution (2024) Vol. 14, Iss. 2
Open Access | Times Cited: 4
Temporal patterns in Malaysian rainforest soundscapes demonstrated using acoustic indices and deep embeddings trained on time-of-day estimation
Yen Yi Loo, Mei Yi Lee, Samien Shaheed, et al.
The Journal of the Acoustical Society of America (2025) Vol. 157, Iss. 1, pp. 1-16
Closed Access
Letting ecosystems speak for themselves: An unsupervised methodology for mapping landscape acoustic heterogeneity
Nestor Rendon, Maria J. Guerrero, Camilo Sánchez‐Giraldo, et al.
Environmental Modelling & Software (2025), pp. 106373-106373
Closed Access
Non-linear effects of ecoacoustic indices on urban soundscape assessments based on gradient boosting decision trees in summer Chongqing, China
Bingzhi Zhong, Hui Xie, Zhengkai Zhang, et al.
Building and Environment (2025), pp. 112984-112984
Closed Access
The Gunung Palung Orangutan Project: Twenty-five years at the intersection of research and conservation in a critical landscape in Indonesia
Cheryl D. Knott, Erin E. Kane, Mariamah Achmad, et al.
Biological Conservation (2021) Vol. 255, pp. 108856-108856
Open Access | Times Cited: 21
How index selection, compression, and recording schedule impact the description of ecological soundscapes
Becky E. Heath, Sarab S. Sethi, C. David L. Orme, et al.
Ecology and Evolution (2021) Vol. 11, Iss. 19, pp. 13206-13217
Open Access | Times Cited: 20
Can acoustic indices reflect the characteristics of public recreational behavioral in urban green spaces?
Weicong Fu, Chengyu Ran, Jing‐Kai Huang, et al.
Ecological Indicators (2023) Vol. 154, pp. 110729-110729
Open Access | Times Cited: 8
Climate warming affects spatio-temporal biodiversity patterns of a highly vulnerable Neotropical avifauna
David A. Prieto‐Torres, Luis A. Sánchez‐González, Marco F. Ortiz‐Ramírez, et al.
Climatic Change (2021) Vol. 165, Iss. 3-4
Closed Access | Times Cited: 18
It is not just about birds: what do acoustic indices reveal about a Costa Rican tropical rainforest?
Mónica Retamosa Izaguirre, Jimmy Barrantes-Madrigal, David Segura Sequeira, et al.
Neotropical Biodiversity (2021) Vol. 7, Iss. 1, pp. 431-442
Open Access | Times Cited: 17
Contributions of MIR to soundscape ecology. Part 3: Tagging and classifying audio features using a multi-labeling k-nearest neighbor approach
Kristen Bellisario, Taylor Broadhead, David G. Savage, et al.
Ecological Informatics (2019) Vol. 51, pp. 103-111
Open Access | Times Cited: 18
Automatic acoustic heterogeneity identification in transformed landscapes from Colombian tropical dry forests
Nestor Rendon, Susana Rodríguez‐Buriticá, Camilo Sánchez‐Giraldo, et al.
Ecological Indicators (2022) Vol. 140, pp. 109017-109017
Open Access | Times Cited: 11
Measuring biodiversity with sound: How effective are acoustic indices for quantifying biodiversity in a tropical dry forest?
Mayuri Kotian, Siddharth Biniwale, Pravar Mourya, et al.
Conservation Science and Practice (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 2
Ecoacoustics of small forest patches in agricultural landscapes: acoustic diversity and bird richness increase with patch size
Sandra Müller, Taylor Shaw, Daniel Güntert, et al.
Biodiversity (2020) Vol. 21, Iss. 1, pp. 48-60
Closed Access | Times Cited: 13
“To Be, or Not to Be”: Critical Assessment of the Use of α-Acoustic Diversity Indices to Evaluate the Richness and Abundance of Coastal Marine Fish Sounds
Xavier Raick, Lucia Di Iorio, David Lecchini, et al.
Journal of Ecoacoustics (2023) Vol. 7, Iss. 1, pp. 1-1
Open Access | Times Cited: 5
Progress and outlook for soundscape ecology
Ying Zhao, Xiaoli Shen, Sheng Li, et al.
Biodiversity Science (2020) Vol. 28, Iss. 7, pp. 806-820
Open Access | Times Cited: 11
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